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Senior Director, Enterprise Data Product, Asset Product Leader

Senior Director, Enterprise Data Product, Asset Product Leader

EquinixRedwood City, CA, US
30+ days ago
Job type
  • Full-time
Job description

Senior Director Of Enterprise Data Product

The Enterprise Data & Analytics (EDNA) team is building the foundation for data-driven decision making at Equinix. We are responsible for developing the core data platform, product, process, and policy that enable the business to operate with greater speed, clarity, and confidence. Our mission is to deliver data as a product - intuitive, trusted, and actionable - to power better and faster decisions across the company.

We are seeking seasoned and visionary Senior Director of Enterprise Data Product to drive enterprise-wide impact through cutting-edge data and AI product leadership. This role is a critical bridge between business strategy and technical execution, responsible for shaping, testing, and delivering high-value data and AI capabilities that are intuitive, scalable, and measurable. You'll work across multiple verticals (e.g., Finance, Legal, HR, Marketing, Product, Operations) to ensure our data and AI investments unlock meaningful business outcomes.

Responsibilities : Strategic Leadership

  • Lead multi-functional teams and shape the end-to-end strategy for enterprise data and AI products
  • Define and evolve the enterprise data product vision across key verticals, aligned with company priorities and C-suite goals
  • Champion data-driven culture and serve as the executive-level thought partner for senior leaders

Data Product Ownership

  • Define, build, validate, test, and promote adoption of our core enterprise data products to drive faster, smarter decision-making across the business
  • Own the product lifecycle from ideation through delivery and continuous improvement, ensuring usability, scalability, and measurable impact
  • Productize analytics solutions from self-service insights and KPI dashboards to intelligent assistants and AI copilots
  • Prioritize and allocate resources against the highest ROI opportunities; establish business cases, KPIs, and outcome measurement

    • AI & Data Science Integration?

  • Partner with AI Engineering and Data Science to identify, experiment, and scale AI use cases that drive automation, insight generation, and predictive capabilities
  • Translate emerging AI technologies into enterprise-ready applications with tangible ROI
  • Drive rapid iteration, experimentation, and feedback loops to validate and scale AI-driven products

    • Stakeholder Engagement

  • Build trust with C-level and senior business leaders through deep understanding of functional strategies, data needs, and pain points
  • Run structured roadmap reviews, co-create use cases, and ensure transparency in prioritization and delivery trade-offs
  • Drive alignment across business, data governance, engineering, and change management teams

    • Qualifications :

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • Experience performing statistical analysis, and coding (e.g., SQL, Python, R).
  • Minimum of 8 years' experience in Product Management and / or Data Science, preferably within the data / analytics domain, either internal facing or both internal and customer facing products (e.g., commercialized and generating revenue)
  • Excellent communication and interpersonal skills, with proven track record of building strong relationships with business stakeholders
  • Experience operating in a highly cross functional, multinational business
  • Dynamic, forward-thinking leader with a bias for action, rapid experimentation, and ability to break down complex problems
  • Preferred : Prior experience in Data Center, Cloud, Telecommunications, IT industry

    • Skills and Attributes :

  • Analytical problem solver with the ability to work under pressure and multitask while leading cross-functional teams
  • Excellent communicator able to simplify the complex
  • Ability to build and maintain strong business relationships with key stakeholders as a trusted advisor
  • Ability to demonstrate ownership and proactively drive initiatives
  • Ability to balance collaboration while driving alignment and being decisive

    • Leadership Characteristics :

  • Is a transformational leader who excels at driving bold and meaningful change at scale and across multiple dimensions.
  • Leads with a global mindset, across cultures, in a highly matrixed, relationship and consensus-driven environment.
  • Cultivates Innovation - Creates new and better ways for the organization to be successful. Fosters a climate where innovation can thrive. Encourages innovative risk taking and embraces failure as a part of innovation
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